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1. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

2. A saturated map of common genetic variants associated with human height

3. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

4. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

5. Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

6. The iHealth-T2D study: a cluster randomised trial for the prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes—a statistical analysis plan

7. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

8. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

9. The power of genetic diversity in genome-wide association studies of lipids

11. The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial

12. SMIM1 absence is associated with reduced energy expenditure and excess weight

13. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

14. Additional file 26 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

15. Additional file 34 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

16. Additional file 16 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

17. Author Correction : The power of genetic diversity in genome-wide association studies of lipids

18. Additional file 6 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

19. Additional file 9 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

20. Reference equations for evaluation of spirometry function tests in South Asia, and among South Asians living in other countries

21. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

22. Additional file 1 of The iHealth-T2D study: a cluster randomised trial for the prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes—a statistical analysis plan

23. The power of genetic diversity in genome-wide association studies of lipids

24. The trans-ancestral genomic architecture of glycemic traits

25. SMIM1absence is associated with reduced energy expenditure and excess weight

26. The iHealth-T2D study: Statistical analysis plan for a cluster randomised controlled trial with intensive family-based lifestyle modification programme to reduce type 2 diabetes risk amongst South Asians

27. The iHealth-T2D study: rationale and design of a cluster randomised trial for prevention of Type 2 Diabetes amongst South Asians with central obesity and prediabetes

32. Data Resource Profile: Understanding the patterns and determinants of health in South Asians - South Asia Biobank

33. The Trans-Ancestral Genomic Architecture of Glycaemic Traits

35. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

37. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

38. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

39. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

41. Air pollution and health in Sri Lanka: a review of epidemiologic studies

42. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

43. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

44. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

45. Characterising private and shared signatures of positive selection in 37 Asian populations

46. Characterising private and shared signatures of positive selection in 37 Asian populations

47. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

50. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

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